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Using jWebMiner 2.0 to Improve Music Classification Performance by Combining Different Types of Features Mined from the Web.

, , и . ISMIR, стр. 607-612. International Society for Music Information Retrieval, (2010)

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Temmyo Ichiro

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Ichiro Omura

 

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The potential for automatic assessment of trumpet tone quality., , и . ISMIR, стр. 573-578. University of Miami, (2011)Using jWebMiner 2.0 to Improve Music Classification Performance by Combining Different Types of Features Mined from the Web., , и . ISMIR, стр. 607-612. International Society for Music Information Retrieval, (2010)Fast vs Slow: Learning Tempo Octaves from User Data., и . ISMIR, стр. 231-236. International Society for Music Information Retrieval, (2010)An Environment for Machine Pedagogy: Learning How to Teach Computers to Read Music., , и . IUI Workshops, том 2068 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Goal-directed evaluation for the improvement of optical music recognition on early music prints., , и . JCDL, стр. 303-304. ACM, (2007)Exploiting music structures for digital libraries., , , , и . JCDL, стр. 479-480. ACM, (2011)A Dataset and Baseline for Automated Assessment of Timbre Quality in Trumpet Sound., , , и . ISMIR, стр. 684-691. (2023)One in the Jungle: Downbeat Detection in Hardcore, Jungle, and Drum and Bass., , и . ISMIR, стр. 169-174. FEUP Edições, (2012)Stompboxes: Kicking the Habit., и . NIME, стр. 41-44. nime.org, (2013)Correcting Large-Scale OMR Data with Crowdsourcing., , и . DLfM@JCDL, стр. 1-3. ACM, (2014)